The platform bill keeps climbing
Cloud and AI spend goes up every quarter and nobody can attribute it to anything.
What is actually going on
Spend arrives as one invoice with no attribution, so there is nothing to govern. Tagging by team and use case, then reporting cost per outcome rather than per unit of consumption, is what makes it manageable. For AI specifically, pilot figures mislead because pilots run at low volume with short context.
Who usually owns this
CIO, CFO, Platform engineering lead
How people describe it
- "why is our cloud bill increasing"
- "allocate cloud costs by business unit"
- "reduce AI API costs"
What resolves it
- Cloud & AI Cost Optimization (FinOps). Cloud and AI cost optimization: warehouse and pipeline cost audits, AI and LLM spend control, BI tool rationalization, and a FinOps operating model. Senior-led, self-funding.
- SAP S/4HANA Migration Practice. The data and analytics practice that de-risks SAP ECC to S/4HANA migrations. Readiness, data quality, migration, and reporting, by certified SAP veterans in Austin TX.
Proof
Other problems
What is actually going on
Who usually owns this
How people describe it
What resolves it
Getting it approved
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